High-performance code intelligence MCP server
Codebase Memory MCP is a high-performance code intelligence server that indexes entire codebases into a local SQLite database, enabling fast semantic search, context retrieval, and automated memory management for LLM-assisted development workflows.
Background
- **MCP (Model Context Protocol)** is an open standard developed by Anthropic (the company behind Claude) that lets AI models talk to external tools and data sources. An MCP server is a plugin that gives an AI assistant access to a specific capability.
- **Codebase Memory MCP** is a server that scans a software project's code and builds a compact "memory" (a SQLite database) of symbols, definitions, dependencies, and code structure. This lets an AI assistant understand a large codebase quickly and accurately, without needing to re-read every file.
- High-performance here means it processes large repositories fast, using Tree-sitter (a parsing library) and incremental updates — it only re-scans files that changed, instead of the whole project.
- This is useful for developers using AI coding assistants: instead of the AI having to "see" your whole codebase in a chat window (expensive, slow, and limited by context windows), it can query this structured memory for relevant functions, classes, and imports, making code generation and refactoring much more reliable.